Fundamental Lower Bound for Node Buffer Size in Intermittently Connected Wireless Networks. Yuanzhong Xu, Xinbing Wang Shanghai Jiao Tong University , China. Outline. Introduction Motivations Objectives Model and Assumption Percolation of Active Nodes Lower Bound In Supercritical Case
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Fundamental Lower Bound for Node Buffer Size inIntermittently Connected Wireless Networks
Yuanzhong Xu, Xinbing Wang
Shanghai Jiao Tong University, China
Introduction
Motivations
Objectives
Model and Assumption
Percolation of Active Nodes
Lower Bound In Supercritical Case
Lower Bound In Subcritical Case
Discussion on Length of Time Slot
Conclusion
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Buffer in Intermittently Connected Network Presentation
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Motivation
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Objectives
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Introduction
Model and Assumption
Percolation of Active Nodes
Lower Bound In Supercritical Case
Lower Bound In Subcritical Case
Discussion on Length of Time Slot
Conclusion
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Introduction
Model and Assumption
Percolation of Active Nodes
Lower Bound In Supercritical Case
Lower Bound In Subcritical Case
Discussion on Length of Time Slot
Conclusion
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Buffer in Intermittently Connected Network Presentation
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Introduction
Model and Assumption
Percolation of Active Nodes
Lower Bound In Supercritical Case
Lower Bound In Subcritical Case
Discussion on Length of Time Slot
Conclusion
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Buffer occupation in w at time slot t
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Introduction
Model and Assumption
Percolation of Active Nodes
Lower Bound In Supercritical Case
Lower Bound In Subcritical Case
Discussion on Length of Time Slot
Conclusion
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Introduction
Model and Assumption
Percolation of Active Nodes
Lower Bound In Supercritical Case
Lower Bound In Subcritical Case
Discussion on Length of Time Slot
Conclusion
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Introduction
Model and Assumption
Percolation of Active Nodes
Lower Bound In Supercritical Case
Lower Bound In Subcritical Case
Discussionon Length of Time Slot
Conclusion
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Thank you !
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p = 0.5, in one time slot each hop can transmit at most 30 message slots.
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p = 0.5, in one time slot each hop can transmit at most 30 message slots.
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